What you'll do:

• Build data platforms and streaming engines that are real-time and batch in nature
• Optimizing existing data platforms and infrastructure while exploring other technologies
• Provide technical leadership to the data engineering team on how data should be stored and processed more efficiently and quickly at scale
• Build and scale stream & batch processing platforms using the latest open-source technologies
• Work with data engineering teams and help with reference implementation for different use cases
• Improve existing tools to deliver value to the users of the platform
• Work with data engineers to create services that can ingest and supply data to and from external sources and ensure data quality and timeliness

What makes you a great fit:

• 2+ years of software development experience with at least 1+ years of experience on open-source big data technologies
• Knowledge of common design patterns used in Complex Event Processing
• Knowledge in Streaming technologies: Apache Kafka, Kafka Streams, KSQL, Spark, Spark Streaming
• Proficiency in Java, Scala
• Strong hands on experience in SQL, Hive, Spark SQL, Data Modeling, Schema design.
• Experience and deep understanding of traditional, NoSQL and columnar databases
• Experience of building scalable infrastructure to support stream, batch and micro-batch data processing.